Difference between revisions of "Stardust/Knowledge Base"
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== Performance Tuning ==
== Performance Tuning ==
== Reports ==
== Reports ==
Revision as of 01:31, 3 March 2014
Please see the Formatting Guidelines before adding content.
- 1 Essential Resources
- 2 Getting Started
- 3 Customization
- 4 Deployment Scenarios
- 5 Embedded Usage
- 6 Build and Change Management
- 7 Integration
- 8 Transaction Management
- 9 Modeling
- 10 Infrastructure, System Administration & Maintenance
- 11 Performance Tuning
- 12 Reports
- 13 Security
- 14 Testing
- 15 External Links
- Product Documentation of the latest milestone.
- Forum Stardust Eclipse Community Forum
- FAQ Frequently asked Questions
- Stardust Runtime Environment on Amazon Web Services EC2 Infrastructure
- Training Videos
- Tutorials (Product Documentation)
- Source Code
- Supported Platforms
- Deployment Options for Production Environments
- Spring Configurations
Build and Change Management
- Applications and Services - Built-in Application Types and other Service Integration
- Data - Built-in Data Types and other Data Integration
- User Interfaces - Interactive Application Types for different UI Technologies, mashing up User Interfaces
- Events - Integrating external Events using different Process Trigger Types, asynchronous/hibernated Activities or Camel
- Apache Camel - Event integration, Service Bus, ETL and Enterprise Integration Patterns
- Spring Integration - Enterprise Integration based on the Spring Integration Project
Infrastructure, System Administration & Maintenance
- Hardware Requirements and Sizing
- Process Model Deployment
- System Monitoring
- Optimizations, e.g. configuring in memory cache
- Write Behind
- Achieving high Throughput with transient Processes
- Increase cache size on sequences
- Maintaining model coherence in a Stardust cluster using Hazecast
- User and Department Synchronization
- SSO using JAAS and the GSS API with_Apache DS and Kerberos
- SSO and Secure Communication with Stardust using Kerberos
- XML Config Encryption
- Customizing Queues and Connection Factory on JBoss
- Apache ActiveMQ is a popular and powerful open source messaging and Integration Patterns server. Stardust can easily be configured to use ActiveMQ as a message broker. This setup is frequently used to add JMS support to a Stardust Spring + Tomcat configuration.
- Apache Camel is a powerful open source integration framework based on known Enterprise Integration Patterns.
- Apache Derby is an open source relational database implemented entirely in Java. Stardust supports Derby as an audit trail database. Startdust's RAD configuration (rapid application development) uses an embedded Derby database.
- Apache Ivy is a dependency manager focusing on flexibility and simplicity that can be integrated with Maven and Ant. Stardust has some Ivy scripts which can be used to fetch dependencies and build client environments.
- Apache Jackrabbit is a fully conforming implementation of the Java Content Repository API. In its standard configurations Stardust leverages Jackrabbit to store various content, first and foremost documents.
- Apache Maven is a software project management and comprehension tool which can manage a project's build, reporting and documentation from a central piece of information. Stardust delivers its components via a Maven repository which also includes project object model (POM) files for various Stardust configurations and deployment scenarios.
- Apache Tomcat is an open source software implementation of the Java Servlet and JavaServer Pages technologies. Stardust uses this popular lightweight application server alternative in its RAD configuration (rapid application development). Many productive Stardust deployment in "Spring mode" use Tomcat.
- Eclipse Babel provides language packs for Eclipse plugins. Get the corresponding language packs here if you want to use Eclipse in another language.
- Eclipse BIRT (Business Intelligence and Reporting Tools) is an open source Eclipse-based reporting system that integrates with Java/Java EE applications to produce compelling reports.
- Hazelcast is an open source clustering and highly scalable data distribution platform. Stardust can be configured to leverage a Hazelcast Cache to improve performance and to keep several Stardust instances (clustered or un-clustered deployment) synchronized.
- Spring Integration is an extension to Spring. It's primary goal is to provide a simple model for building enterprise integration solutions while maintaining the separation of concerns.